Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A method of preoperatively planning an arthroplasty on a joint, the method comprising: receiving medical images of a first patient joint and a second patient joint spaced apart from the first patient joint, the medical images of the first patient joint being of a different resolution than a resolution of the medical images of the second patient joint; generating a computer model of the first patient joint from the medical images of the first patient joint; locating a joint center of the second patient joint from the medical images of the second patient joint, the joint center being located relative to the computer model in a computerized coordinate system; and superimposing a computerized representation of an implant with the computer model to determine coordinate locations in the computerized coordinate system for an arthroplasty resection relative to the computer model of the first patient joint and the joint center of the second patient joint.
This invention relates to preoperative planning for arthroplasty, specifically addressing challenges in accurately aligning and positioning implants in joint replacement surgery. The method involves using medical images of two patient joints, where the images of the first joint (e.g., the joint to be replaced) are of a different resolution than those of the second joint (e.g., a reference joint). A computer model of the first joint is generated from its medical images, while the joint center of the second joint is identified from its images. Both the first joint model and the second joint center are positioned in a shared computerized coordinate system. A computerized representation of the implant is then superimposed onto the first joint model to determine precise resection locations for the arthroplasty, using the joint center of the second joint as a reference. This approach improves surgical planning by leveraging high-resolution imaging of the target joint while incorporating anatomical landmarks from a secondary joint to enhance accuracy and alignment. The method ensures that the implant is positioned correctly relative to both the primary and secondary joints, optimizing surgical outcomes.
2. The method of claim 1 , wherein the medical images of the first patient joint are a higher resolution than the resolution of the medical images of the second patient joint.
This invention relates to medical imaging systems that compare joint conditions between different patients, particularly where one set of images is of higher resolution than the other. The problem addressed is the difficulty in accurately assessing joint conditions when comparing images of varying resolutions, which can lead to misdiagnosis or inconsistent treatment recommendations. The method involves acquiring medical images of a first patient joint at a higher resolution and medical images of a second patient joint at a lower resolution. The higher-resolution images provide detailed anatomical features, while the lower-resolution images may be from older imaging systems or different imaging modalities. The method then processes these images to align and compare them, accounting for the resolution difference to ensure accurate assessment. This may include scaling, filtering, or feature extraction techniques to normalize the data before analysis. The comparison helps clinicians evaluate joint conditions, track disease progression, or assess treatment effectiveness across patients with differing image quality. The approach is particularly useful in orthopedic applications where joint degradation or arthritis progression needs to be monitored over time or between patients.
3. The method of claim 1 , wherein the medical images include a third patient joint spaced apart from the first patient joint and the second patient joint, the medical images of the third patient joint being of a different resolution than the resolution of the first medical images, the method further comprising locating a joint center of the third patient joint from the medical images of the third patient joint, wherein the computer model and the joints centers of the second patient joint and the third patient joint are located relative to each other in the computerized coordinate system.
This invention relates to medical imaging and joint analysis, specifically addressing the challenge of accurately locating and modeling multiple patient joints in a computerized coordinate system, even when the joints are captured at different resolutions. The method involves processing medical images of at least three patient joints, where the images of a third joint have a different resolution than those of the first two joints. The method includes locating the joint centers of all three joints within their respective images. The computer model of the patient's anatomy is then constructed, with the joint centers of the second and third joints positioned relative to each other in the same computerized coordinate system. This ensures spatial consistency across joints, even when imaging conditions vary. The approach enables precise anatomical modeling for applications such as surgical planning, biomechanical analysis, or orthopedic assessments, where accurate joint positioning is critical. The method compensates for resolution differences, ensuring reliable joint center detection and spatial relationships in the model.
4. The method of claim 3 , wherein the first patient joint, second patient joint, and third patient joint are respectively a knee, hip and ankle.
This invention relates to a method for analyzing human joint movement, specifically focusing on the knee, hip, and ankle joints. The method addresses the challenge of accurately assessing joint kinematics and dynamics during movement, which is critical for medical diagnostics, rehabilitation, and biomechanical research. The invention provides a systematic approach to capturing and analyzing motion data from these three key joints to improve understanding of gait, injury mechanisms, and treatment effectiveness. The method involves tracking the movement of the knee, hip, and ankle joints using motion capture technology, such as inertial sensors or optical markers. Data from these joints is synchronized and processed to determine joint angles, velocities, and accelerations. The method may also incorporate force plate measurements to assess ground reaction forces during movement. By analyzing the interaction between these three joints, the invention enables a comprehensive evaluation of lower limb biomechanics, which can be used to identify abnormalities, optimize rehabilitation protocols, or design assistive devices. The invention improves upon existing techniques by providing a standardized framework for multi-joint analysis, reducing variability in data collection and interpretation. This approach enhances the reliability of biomechanical assessments and supports more precise clinical decision-making. The method is particularly useful in orthopedics, sports medicine, and physical therapy, where accurate joint movement analysis is essential for patient care.
5. The method of claim 4 , further comprising determining a full leg mechanical axis defined between the joint centers of the second patient joint and the third patient joint.
This invention relates to medical imaging and orthopedic analysis, specifically for determining anatomical alignment in a patient's limb. The problem addressed is the need for accurate assessment of joint alignment, particularly in the lower extremities, to diagnose and plan treatment for conditions like osteoarthritis or deformities. The method involves analyzing medical images, such as X-rays or MRI scans, to identify key anatomical landmarks. These landmarks include the centers of at least two patient joints, such as the hip, knee, and ankle, which are used to define the mechanical axes of the limb segments. The mechanical axis is a straight line connecting the centers of these joints, representing the load-bearing alignment of the limb. The method further includes determining a full leg mechanical axis, which is defined as the line connecting the joint centers of two specific patient joints, such as the knee and ankle. This axis provides critical information about the limb's structural alignment, which is essential for diagnosing misalignments and planning surgical interventions like osteotomies or joint replacements. The technique may also involve comparing the measured alignment to anatomical standards to assess deviations and their clinical significance. By automating the identification of joint centers and calculating the mechanical axis, the method improves the accuracy and efficiency of orthopedic assessments, reducing reliance on manual measurements and subjective interpretations. This approach supports better diagnostic decisions and treatment planning for musculoskeletal conditions.
6. The method of claim 5 , wherein the determined coordinate locations for the arthroplasty resection includes a zero degree mechanical axis alignment relative to the full leg mechanical axis.
This invention relates to orthopedic surgery, specifically arthroplasty procedures such as knee replacements, where precise bone resection is critical for proper implant alignment. The problem addressed is achieving accurate mechanical axis alignment during surgery to ensure optimal joint function and longevity of the implant. Traditional methods often rely on manual measurements or external alignment guides, which can introduce errors. The invention describes a method for determining coordinate locations for bone resection in arthroplasty, ensuring alignment with a zero-degree mechanical axis relative to the full leg mechanical axis. This means the resection planes are aligned such that the mechanical axis of the limb remains neutral, avoiding varus or valgus deformities. The method likely involves using imaging or navigation systems to map the leg's anatomy and calculate precise resection points. By aligning the resection planes to the full leg mechanical axis, the procedure ensures that the implant will function correctly, reducing wear and improving patient outcomes. The technique may also incorporate real-time feedback to adjust resection angles during surgery, enhancing precision. This approach minimizes reliance on external guides and improves reproducibility, making it suitable for both robotic and manual surgical techniques.
7. The method of claim 2 , wherein the first patient joint and second patient joint are respectively a knee and a hip.
This invention relates to a method for analyzing and treating joint-related conditions, specifically focusing on the knee and hip joints. The method involves assessing the mechanical and functional interactions between these two joints to diagnose or treat musculoskeletal disorders. The approach likely includes capturing biomechanical data, such as joint angles, movement patterns, or force distributions, to identify abnormalities or inefficiencies in how the knee and hip interact during movement. By analyzing this data, the method may help determine the root causes of pain, instability, or degenerative conditions affecting either joint. Treatment strategies could involve targeted interventions, such as physical therapy, orthotic devices, or surgical adjustments, designed to restore proper biomechanical alignment and function between the knee and hip. The method may also incorporate real-time feedback or adaptive adjustments to optimize treatment outcomes. This approach addresses the challenge of treating joint disorders in isolation, instead considering the interconnected nature of the knee and hip to provide more comprehensive and effective solutions.
8. The method of claim 2 , further comprising providing to a computerized cutting machine data pertaining to the coordinate locations in the computerized coordinate system for the arthroplasty resection.
This invention relates to surgical navigation systems for orthopedic procedures, specifically arthroplasty, where precise bone resection is critical. The problem addressed is the need for accurate, real-time guidance during bone cutting to ensure proper implant alignment and fit. The invention provides a method for determining and displaying coordinate locations for arthroplasty resections in a computerized coordinate system, ensuring that the cuts are made at the correct anatomical positions. The method involves mapping the bone surface, defining resection planes, and calculating the optimal cutting paths. To enhance precision, the invention further includes transmitting these coordinate locations to a computerized cutting machine, which automates the resection process. This ensures that the surgical cuts are executed with high accuracy, reducing human error and improving outcomes. The system integrates imaging data, such as CT or MRI scans, with real-time tracking of surgical instruments to guide the procedure. The automated cutting machine uses the provided coordinates to perform the resections, ensuring consistency and reproducibility. This approach is particularly useful in joint replacement surgeries, where precise bone removal is essential for proper implant placement and function. The invention improves surgical efficiency and reduces the risk of complications associated with imprecise resections.
9. The method of claim 8 , wherein the computerized cutting machine is a CNC machine.
A computerized cutting system is used to precisely cut materials such as wood, metal, or plastic. Traditional cutting methods often lack precision, efficiency, or adaptability to complex designs, leading to wasted material and increased production time. This invention addresses these issues by using a computerized cutting machine, specifically a CNC (Computer Numerical Control) machine, to automate the cutting process. The CNC machine follows programmed instructions to control cutting tools with high accuracy, ensuring consistent and repeatable results. The system may include a material handling mechanism to position and secure the material during cutting, reducing human intervention and improving safety. The CNC machine's ability to execute complex cutting paths allows for intricate designs that would be difficult or impossible with manual methods. Additionally, the system may incorporate feedback mechanisms to monitor and adjust cutting parameters in real-time, further enhancing precision and efficiency. By automating the cutting process with a CNC machine, the invention improves production speed, reduces material waste, and ensures high-quality results across various industries.
10. The method of claim 8 , wherein the computerized cutting machine uses the data to cut a resection guide in a jig blank being machined into an arthroplasty jig.
This invention relates to the field of surgical jig manufacturing, specifically for arthroplasty procedures. The problem addressed is the need for precise, customized resection guides used in joint replacement surgeries to ensure accurate bone cuts. The solution involves a computerized cutting machine that processes data to machine a jig blank into a resection guide for an arthroplasty jig. The method involves using a computerized cutting machine to process data representing the desired shape and dimensions of a resection guide. The machine then cuts the jig blank according to this data, transforming it into a resection guide. This guide is part of an arthroplasty jig, which is a surgical tool used to guide bone cuts during joint replacement procedures. The resection guide ensures that the cuts are made with high precision, matching the patient's specific anatomy and the requirements of the implant being used. The computerized cutting machine may employ various techniques, such as CNC machining, laser cutting, or other automated fabrication methods, to achieve the necessary accuracy. The data used by the machine may be derived from preoperative imaging, such as CT or MRI scans, or from digital planning software that designs the resection guide based on the patient's anatomy and the surgical plan. The resulting resection guide is then integrated into the arthroplasty jig, which is used during surgery to guide the resection of bone tissue. This approach improves the precision of joint replacement surgeries by ensuring that the resection guides are custom-made to fit the patient's anatomy, reducing the risk of errors and improving surgical outcomes. The use of computerized cutting machines allows for rapid and accurate fabrication of these guides, supporting the growing
11. The method of claim 2 , wherein the medical images of the first and second patient joints are oriented relative to each other in the computerized coordinate system in an arrangement simulating the medical images of the first and second patient joints being taken as a single image scan as opposed to two spaced-apart image scans.
This invention relates to medical imaging, specifically to techniques for aligning and orienting medical images of patient joints to simulate a single continuous scan. The problem addressed is the difficulty in accurately comparing or analyzing joint images taken from separate scans, which may be misaligned or improperly oriented, leading to inaccuracies in diagnosis or treatment planning. The solution involves a method for orienting medical images of two different patient joints within a computerized coordinate system. The images are positioned relative to each other in a way that mimics how they would appear if captured in a single, uninterrupted scan rather than as two distinct, spaced-apart scans. This alignment ensures consistency in spatial relationships, improving the accuracy of joint analysis, comparison, or surgical planning. The method may involve adjusting the images based on anatomical landmarks, geometric transformations, or other alignment techniques to achieve the simulated single-scan effect. The invention is particularly useful in orthopedic applications where precise joint alignment is critical for assessing conditions like arthritis, fractures, or joint deformities. By simulating a continuous scan, the method enhances diagnostic reliability and treatment precision.
12. The method of claim 11 , wherein the medical images of the first and second patient joints are oriented relative to each other by using a transformation to positionally match locations of anatomical landmarks in the medical images of the first patient joint to locations of the anatomical landmarks in additional medical images of the first patient joint, the additional medical images of the first patient joint having the lower resolution.
This invention relates to medical imaging, specifically to aligning high-resolution and low-resolution images of patient joints for comparative analysis. The problem addressed is the difficulty in accurately comparing medical images of different resolutions, particularly when assessing joint conditions or treatment progress. The solution involves a method for orienting medical images of a first patient joint and a second patient joint by applying a transformation to align anatomical landmarks. The transformation ensures that key anatomical features in the high-resolution images of the first joint match corresponding features in lower-resolution images of the same joint. This alignment allows for precise comparison between different imaging modalities or time points, improving diagnostic accuracy and treatment planning. The method may also involve preprocessing steps such as noise reduction or contrast enhancement to improve landmark detection. The aligned images can then be used for further analysis, such as measuring joint degradation or evaluating surgical outcomes. This approach is particularly useful in orthopedics, radiology, and other fields where joint imaging is critical.
13. The method of claim 12 , wherein the transformation comprises an Iterative Closest Point algorithm or gradient descent optimization.
This invention relates to a method for aligning or transforming a first set of data points to match a second set of data points, addressing the challenge of accurately registering datasets in applications such as 3D scanning, medical imaging, or robotics. The method involves iteratively adjusting the first set of data points to minimize the spatial discrepancy between the two datasets, improving alignment precision. The transformation process may utilize an Iterative Closest Point (ICP) algorithm, which iteratively refines the alignment by matching corresponding points between the datasets, or gradient descent optimization, which adjusts the transformation parameters to minimize an error metric. The method ensures robust alignment even in the presence of noise or partial overlaps, enhancing the accuracy of subsequent analyses or applications relying on the registered data. The approach is particularly useful in scenarios where precise spatial correspondence between datasets is critical, such as in medical imaging for diagnostic purposes or in robotics for navigation and mapping. The transformation may be applied in various coordinate systems, including 2D or 3D spaces, and can be adapted to different types of data, such as point clouds, images, or sensor measurements. The method improves upon existing techniques by providing flexibility in the choice of optimization algorithms, allowing for tailored solutions based on specific application requirements.
14. The method of claim 12 , wherein the transformation causes the medical images of the first patient joint to reposition in the computer global coordinate system to match the location and orientation of the additional medical images of the first patient joint.
This invention relates to medical imaging and image registration techniques, specifically for aligning medical images of a patient's joint to improve diagnostic accuracy or treatment planning. The problem addressed is the difficulty in accurately comparing or combining multiple medical images of the same joint due to variations in positioning, orientation, or imaging conditions. The solution involves transforming medical images of a first patient joint in a computer global coordinate system so that they align with additional medical images of the same joint. This transformation ensures that the images are repositioned to match the location and orientation of the additional images, enabling precise spatial alignment. The method may involve using anatomical landmarks, surface matching, or other registration techniques to determine the necessary transformation parameters. By aligning the images in this way, the invention facilitates better visualization, analysis, and interpretation of joint structures, which is critical for applications such as surgical planning, joint replacement, or monitoring disease progression. The technique may be applied to various imaging modalities, including X-rays, CT scans, or MRI images, and can be integrated into medical imaging software or systems.
15. The method of claim 12 , wherein the anatomical landmarks comprise at least one of a center of a femur condyle region near a trochlear groove, a point of a medial femur epicondyle, or a lateral point of a lateral femur epicondyle.
This invention relates to medical imaging and surgical navigation, specifically for identifying and utilizing anatomical landmarks in the knee joint to improve accuracy in orthopedic procedures. The problem addressed is the need for precise landmark detection to enhance surgical planning and execution, particularly in knee arthroplasty or other joint-related interventions. The method involves identifying specific anatomical landmarks on the femur, which are critical for aligning surgical tools or implants. These landmarks include the center of the femur condyle region near the trochlear groove, the point of the medial femur epicondyle, and the lateral point of the lateral femur epicondyle. These points are used to establish a reference frame or coordinate system for guiding surgical instruments or robotic systems during procedures. The landmarks may be detected using imaging techniques such as computed tomography (CT), magnetic resonance imaging (MRI), or intraoperative imaging, and can be used in conjunction with computer-assisted navigation systems to ensure accurate placement of implants or surgical cuts. The method improves upon existing techniques by providing more precise and consistent landmark identification, reducing variability in surgical outcomes. This is particularly useful in knee replacement surgeries, where alignment errors can lead to complications such as implant loosening or joint instability. The system may also incorporate machine learning or pattern recognition to automatically detect these landmarks from medical images, further enhancing efficiency and accuracy.
16. The method of claim 15 , wherein the point of the medial femur epicondyle is a most medial point of the medial femur epicondyle.
This invention relates to medical imaging and orthopedic analysis, specifically improving the accuracy of anatomical landmark identification in knee joint imaging. The problem addressed is the variability in identifying the medial femur epicondyle, a critical reference point for knee joint modeling, surgical planning, and biomechanical analysis. Misidentification of this landmark can lead to errors in joint alignment, implant positioning, or biomechanical simulations. The invention provides a method for precisely determining the medial femur epicondyle in medical images. The method involves analyzing the medial femur epicondyle region to identify its most medial point, which is defined as the point on the medial femur epicondyle that is farthest in the medial direction relative to the knee joint's anatomical axes. This point serves as a consistent and reproducible reference for further medical or biomechanical applications. The method may include preprocessing the medical image data, such as segmenting the femur or applying image enhancement techniques, to improve landmark detection accuracy. The most medial point is identified using geometric or image-based analysis, ensuring it is the true anatomical boundary of the medial femur epicondyle. This precise identification supports applications like computer-assisted surgery, joint replacement planning, or biomechanical modeling, where accurate anatomical landmarks are essential for reliable outcomes.
17. The method of claim 15 , wherein the point of the lateral femur epicondyle is a most lateral point of the lateral femur epicondyle.
This invention relates to medical imaging and orthopedic analysis, specifically for accurately identifying anatomical landmarks in the knee joint, particularly the lateral femur epicondyle. The method addresses the challenge of precisely locating this landmark in medical images, which is critical for surgical planning, joint replacement, and biomechanical analysis. The lateral femur epicondyle is a key reference point for aligning implants, assessing joint mechanics, and diagnosing conditions like osteoarthritis. The method involves identifying the most lateral point of the lateral femur epicondyle in a medical image, such as an X-ray, MRI, or CT scan. This point is determined by analyzing the image data to find the outermost edge of the epicondyle in the lateral direction. The process may include image processing techniques like edge detection, contour analysis, or machine learning-based segmentation to isolate the epicondyle and pinpoint its lateral extremity. The identified point serves as a reliable reference for further medical or surgical procedures, ensuring accurate alignment and positioning of implants or diagnostic measurements. By focusing on the most lateral point, the method improves consistency and reduces variability in landmark identification, which is essential for precise clinical applications. This technique enhances the reliability of knee joint assessments and interventions, supporting better patient outcomes in orthopedic treatments.
18. The method of claim 12 , wherein the anatomical landmarks comprise at least one of a medial edge of a medial tibial condyle, a lateral edge of a lateral tibial condyle, a medial transition from a medial tibial plateau to a tibial shaft, or a lateral transition from a lateral tibial plateau to the tibial shaft.
This invention relates to medical imaging and surgical planning, specifically for identifying anatomical landmarks on the tibia to assist in orthopedic procedures. The method involves analyzing medical images, such as X-rays or CT scans, to detect and map key anatomical features of the tibia. These features include the medial edge of the medial tibial condyle, the lateral edge of the lateral tibial condyle, the medial transition between the medial tibial plateau and the tibial shaft, and the lateral transition between the lateral tibial plateau and the tibial shaft. By precisely identifying these landmarks, the method supports accurate alignment and positioning of surgical tools or implants, such as in knee replacement or fracture repair. The technique may use image processing algorithms to enhance visibility of these landmarks, ensuring reliable detection even in low-contrast or noisy images. This improves surgical precision, reduces errors, and enhances patient outcomes by ensuring proper anatomical alignment during procedures. The method may be integrated into navigation systems or robotic-assisted surgery platforms to guide real-time adjustments.
19. The method of claim 2 , wherein the medical images of the first and second patient joints are the result of respective spaced-apart imaging scans and oriented in the computerized coordinate system as if the medical images of the first and second patient joints were generated via a single imaging scan that encompassed a knee region and at least one of a hip or ankle region at the same time.
This invention relates to medical imaging techniques for analyzing patient joints, particularly for aligning and comparing images of different joints (e.g., knee, hip, ankle) from separate scans as if they were captured in a single, comprehensive scan. The problem addressed is the difficulty in accurately correlating anatomical features across multiple imaging sessions, which can lead to misalignment and inconsistent diagnostic or treatment planning. The method involves acquiring medical images of a first patient joint (e.g., a knee) and a second patient joint (e.g., a hip or ankle) from separate imaging scans. These images are then processed to align them in a computerized coordinate system, simulating the orientation they would have if captured in a single scan encompassing both joints simultaneously. This alignment ensures that anatomical features are spatially consistent, enabling precise comparisons and measurements across the joint regions. The technique may include adjusting the images to account for differences in patient positioning, imaging angles, or anatomical variations between scans. By virtually integrating the separate scans into a unified coordinate system, the method improves diagnostic accuracy, surgical planning, and longitudinal tracking of joint conditions. This approach is particularly useful in orthopedics, where assessing joint relationships (e.g., knee-to-hip alignment) is critical for treatment decisions. The invention enhances the reliability of multi-joint imaging analysis without requiring specialized or simultaneous scanning equipment.
20. The method of claim 1 , wherein the computerized representation of the implant comprises a computerized three dimensional model of the implant.
This invention relates to medical implant design and surgical planning, addressing the challenge of accurately modeling and positioning implants in a patient's anatomy. The method involves creating a computerized representation of an implant, which is a three-dimensional model of the implant. This model is used to simulate the implant's placement within a patient's anatomy, allowing for precise pre-surgical planning. The three-dimensional model includes detailed geometric and structural data of the implant, enabling virtual adjustments to optimize fit, alignment, and functionality before physical implantation. The method may also involve integrating the implant model with patient-specific anatomical data, such as medical imaging scans, to ensure compatibility and accuracy. By using this approach, surgeons can reduce risks, improve outcomes, and minimize intraoperative adjustments. The invention enhances the precision of implant-based procedures, particularly in orthopedics, dentistry, and other medical fields where custom or standardized implants are used. The three-dimensional modeling allows for realistic simulations, including mechanical stress analysis and biomechanical compatibility assessments, ensuring the implant performs as intended once placed in the patient. This method streamlines the transition from planning to execution, reducing surgical time and improving patient recovery.
21. The method of claim 20 , wherein the implant comprises at least one of a femoral knee implant or a tibial knee implant, and the computer model comprises at least one of a femur knee region or a tibia knee region.
This invention relates to computer-aided design and manufacturing of knee implants, specifically femoral and tibial knee implants. The problem addressed is the need for precise and customized knee implant designs that accurately match a patient's anatomy to improve surgical outcomes and implant longevity. The method involves creating a computer model of a patient's knee anatomy, including the femur and tibia regions. The implant design is then generated based on this model to ensure proper fit and alignment. The implant itself can be either a femoral knee implant, a tibial knee implant, or both, depending on the patient's needs. The computer model guides the manufacturing process to produce implants that are tailored to the patient's specific bone structure, reducing the risk of complications such as misalignment or poor fit. The method ensures that the implant design is optimized for the patient's unique anatomy, improving the accuracy of the surgical procedure and enhancing post-operative recovery. By using a detailed computer model, the invention allows for precise customization, which is critical for knee implants where proper alignment and fit are essential for long-term success. This approach minimizes the need for revisions and improves patient satisfaction.
22. The method of claim 2 , wherein the medical images are generated via at least one of CT, MRI or other medical imaging methods.
This invention relates to a method for processing medical images to enhance diagnostic accuracy. The method involves acquiring medical images from various imaging modalities, including computed tomography (CT), magnetic resonance imaging (MRI), or other medical imaging techniques. These images are then analyzed to identify and extract relevant anatomical or pathological features. The extracted features are used to generate a three-dimensional (3D) model of the region of interest, which can be further processed to improve visualization or facilitate quantitative analysis. The method may also include comparing the generated 3D model with reference data to detect abnormalities or deviations from normal anatomical structures. Additionally, the method can incorporate machine learning techniques to refine feature extraction and improve the accuracy of the 3D model. The processed images and models can be displayed to medical professionals for diagnostic purposes, aiding in the detection and assessment of medical conditions. The method ensures that medical images from different modalities are effectively integrated and analyzed to provide comprehensive diagnostic insights.
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October 29, 2019
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